Decision making processes of non-life insurance pricing using fuzzy logic and owa operators
Author
dc.contributor.author
Casanovas, Montserrat
Author
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Torres Martínez, Agustín
Author
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Merigó Lindahl, José
Admission date
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2015-09-24T20:02:55Z
Available date
dc.date.available
2015-09-24T20:02:55Z
Publication date
dc.date.issued
2015
Cita de ítem
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Economic Computation and Economic Cybernetics Studies and Research, Vol. 49, No. 2, pp. 169 - 187, 2015
en_US
Identifier
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https://repositorio.uchile.cl/handle/2250/133834
General note
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Artículo de publicación ISI
en_US
Abstract
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Setting a commercial premium for an insurance policy is a complex process, even, though statistical tools provide fairly reliable information on the behavior of the frequency and cost of claims differentiated by risk profiles reflected in pure premium calculations. However lately setting the price the customer must pay has not been easy, because of the uncertainty of having to use subjective criteria to analyze how demand may be affected by different price alternatives and economic situations. This article aims to develop this process in two stages. The first stage is carried out with the opinion of experts applied to uncertain numbers and Ordered Weighted Average (OWA) operators to assess the overall benefits of each profile to choose the best alternative. The second stage, which uses Heavy OWA (HOWA) operators, is based on the results obtained in the first stage and chooses a general price alternative for all profiles.
en_US
Patrocinador
dc.description.sponsorship
University of Barcelona
099311
European Commission
PIEF-GA-2011-300062